Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Increase agricultural productivity in India using machine learning-based crop recommendation systems for improved yields and ...

David Ussery discusses using Machine Learning methods to predict the pathogenicity of a bacterial infection based on genome ...

What if people could detect cancer and other diseases with the same speed and ease of a pregnancy test or blood glucose meter ...

Traditional epidemic modeling techniques, including compartmental, network, and temporal models, have historically ...

A team of researchers at Rice University and Baylor College of Medicine recently developed a new strategy for identifying ...

In smart grid management, ML enables dynamic control of distributed energy sources, managing real-time energy flows and ...

Classical methods struggle with highly dimensional problems. Quantum cognition takes a different approach, as hedge fund duo ...

A new study offers insight into the health and lifestyle indicators—including diet, physical activity and weight—that align ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...